Nir Weinberger

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 86

Top Topics

Hypothesis Test

Join Dependencies

Error Probability

Large Deviations

Top Venues

IEEE Trans. Inf. Theory

SIAM J. Discret. Math.

Publications

Nir Weinberger, Ilan Shomorony
Fundamental Limits of Reference-Based Sequence Reordering. IEEE Trans. Inf. Theory 70 (7) (2024)
Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. CoRR (2024)
Neria Uzan, Nir Weinberger
A representation-learning game for classes of prediction tasks. ICLR (2024)
Dror Freirich, Nir Weinberger, Ron Meir
Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics. CoRR (2024)
Omer Cohen, Ron Meir, Nir Weinberger
Statistical curriculum learning: An elimination algorithm achieving an oracle risk. CoRR (2024)
Neria Uzan, Nir Weinberger
A representation-learning game for classes of prediction tasks. CoRR (2024)
Omer Cohen, Ron Meir, Nir Weinberger
Statistical curriculum learning: An elimination algorithm achieving an oracle risk. COLT (2024)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
Maximal-Capacity Discrete Memoryless Channel Identification. CoRR (2024)
Neri Merhav, Nir Weinberger
A Toolbox for Refined Information-Theoretic Analyses with Applications. CoRR (2024)
Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
On Bits and Bandits: Quantifying the Regret-Information Trade-off. CoRR (2024)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. CoRR (2024)
Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. ICLR (2024)
Yuval Gerzon, Ilan Shomorony, Nir Weinberger
Capacity of Frequency-based Channels: Encoding Information in Molecular Concentrations. CoRR (2024)
V Arvind Rameshwar, Nir Weinberger
Information Rates Over Multi-View Channels. CoRR (2024)
Yevgeni Nogin, Daniella Bar-Lev, Dganit Hanania, Tahir Detinis Zur, Yuval Ebenstein, Eitan Yaakobi, Nir Weinberger, Yoav Shechtman
Design of optimal labeling patterns for optical genome mapping via information theory. Bioinform. 39 (10) (2023)
Nir Weinberger, Michal Yemini
Multi-Armed Bandits With Self-Information Rewards. IEEE Trans. Inf. Theory 69 (11) (2023)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
On Mismatched Oblivious Relaying. ISIT (2023)
Tom Norman, Nir Weinberger, Kfir Y. Levy
Robust Linear Regression for General Feature Distribution. AISTATS (2023)
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
Maximal-Capacity Discrete Memoryless Channel Identification. ISIT (2023)
Batya Kenig, Nir Weinberger
Quantifying the Loss of Acyclic Join Dependencies. PODS (2023)
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
How do Minimum-Norm Shallow Denoisers Look in Function Space? CoRR (2023)
Nir Weinberger, Ilan Shomorony
Fundamental Limits of Reference-Based Sequence Reordering. ISIT (2023)
Amit Tsvieli, Nir Weinberger
Learning Maximum Margin Channel Decoders. IEEE Trans. Inf. Theory 69 (6) (2023)
Nir Weinberger, Ilan Shomorony
Fundamental Limits of Reference-Based Sequence Reordering. CoRR (2023)
Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
How do Minimum-Norm Shallow Denoisers Look in Function Space? NeurIPS (2023)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai
On Mismatched Oblivious Relaying. CoRR (2023)
Adir Kobovich, Eitan Yaakobi, Nir Weinberger
M-DAB: An Input-Distribution Optimization Algorithm for Composite DNA Storage by the Multinomial Channel. CoRR (2023)
Nir Weinberger
Generalization Bounds and Algorithms for Learning to Communicate Over Additive Noise Channels. IEEE Trans. Inf. Theory 68 (3) (2022)
Yihan Zhang, Nir Weinberger
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models. CoRR (2022)
Nir Weinberger, Neri Merhav
The DNA Storage Channel: Capacity and Error Probability Bounds. ISIT (2022)
Yihan Zhang, Nir Weinberger
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models. NeurIPS (2022)
Nir Weinberger, Neri Merhav
The DNA Storage Channel: Capacity and Error Probability Bounds. IEEE Trans. Inf. Theory 68 (9) (2022)
Nir Weinberger, Michal Yemini
Upper Confidence Interval Strategies for Multi-Armed Bandits with Entropy Rewards. ISIT (2022)
Amit Tsvieli, Nir Weinberger
Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels. ISIT (2022)
Amit Tsvieli, Nir Weinberger
Learning Maximum Margin Channel Decoders. CoRR (2022)
Nir Weinberger, Michal Yemini
Multi-Armed Bandits with Self-Information Rewards. CoRR (2022)
Nir Weinberger, Guy Bresler
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures. J. Mach. Learn. Res. 23 (2022)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
The Compound Information Bottleneck Program. ISIT (2022)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai
The Compound Information Bottleneck Outlook. CoRR (2022)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
On Information Bottleneck for Gaussian Processes. ITW (2022)
Batya Kenig, Nir Weinberger
Quantifying the Loss of Acyclic Join Dependencies. CoRR (2022)
Nir Weinberger
Error Probability Bounds for Coded-Index DNA Storage. CoRR (2022)
Tom Norman, Nir Weinberger, Kfir Y. Levy
Robust Linear Regression for General Feature Distribution. CoRR (2022)
Nir Weinberger, Meir Feder
On Information-Theoretic Determination of Misspecified Rates of Convergence. ISIT (2022)
Michael Dikshtein, Nir Weinberger, Shlomo Shamai
On Information Bottleneck for Gaussian Processes. CoRR (2022)
Nir Weinberger
Error Probability Bounds for Coded-Index DNA Storage Systems. IEEE Trans. Inf. Theory 68 (11) (2022)
Nir Weinberger
Generalization Bounds and Algorithms for Learning to Communicate over Additive Noise Channels. CoRR (2021)
Nir Weinberger, Neri Merhav
The DNA Storage Channel: Capacity and Error Probability. CoRR (2021)
Nir Weinberger, Guy Bresler
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures. CoRR (2021)
Nir Weinberger, Meir Feder
k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions. IEEE Trans. Inf. Theory 66 (11) (2020)
Nir Weinberger
Learning Additive Noise Channels: Generalization Bounds and Algorithms. ISIT (2020)
Nir Weinberger, Ofer Shayevitz
Guessing with a Bit of Help. Entropy 22 (1) (2020)
Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillén i Fàbregas
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. IEEE Trans. Inf. Theory 66 (11) (2020)
Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillen i Fabregas
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. CoRR (2019)
Nir Weinberger, Meir Feder
k-vectors: An Alternating Minimization Algorithm for Learning Regression Functions. Allerton (2019)
Ran Averbuch, Nir Weinberger, Neri Merhav
Expurgated Bounds for the Asymmetric Broadcast Channel. IEEE Trans. Inf. Theory 65 (6) (2019)
Nir Weinberger, Yuval Kochman
On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. IEEE Trans. Inf. Theory 65 (8) (2019)
Nir Weinberger, Yuval Kochman, Michèle A. Wigger
Exponent Trade-off for Hypothesis Testing Over Noisy Channels. ISIT (2019)
Nir Weinberger, Ofer Shayevitz
Self-Predicting Boolean Functions. SIAM J. Discret. Math. 33 (2) (2019)
Nir Weinberger, Ofer Shayevitz
Self-Predicting Boolean Functions. ISIT (2018)
Nir Weinberger, Yuval Kochman
On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. CoRR (2018)
Nir Weinberger, Ofer Shayevitz
Guessing with a Bit of Help. CoRR (2018)
Nir Weinberger, Yuval Kochman
On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. ISIT (2018)
Sihuang Hu, Nir Weinberger, Ofer Shayevitz
On the VC-Dimension of Binary Codes. SIAM J. Discret. Math. 32 (3) (2018)
Nir Weinberger, Ofer Shayevitz
Guessing with a Boolean Helper. ISIT (2018)
Nir Weinberger, Ofer Shayevitz
Self-Predicting Boolean Functions. CoRR (2018)
Sihuang Hu, Nir Weinberger, Ofer Shayevitz
On the VC-Dimension of Binary Codes. CoRR (2017)
Nir Weinberger, Neri Merhav
Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints. IEEE Trans. Inf. Theory 63 (6) (2017)
Sihuang Hu, Nir Weinberger, Ofer Shayevitz
On the VC-dimension of binary codes. ISIT (2017)
Nir Weinberger, Neri Merhav
Channel Detection in Coded Communication. IEEE Trans. Inf. Theory 63 (10) (2017)
Nir Weinberger, Neri Merhav
Lower bounds on parameter modulation-estimation under bandwidth constraints. ISIT (2017)
Nir Weinberger, Ofer Shayevitz
On the Optimal Boolean Function for Prediction Under Quadratic Loss. IEEE Trans. Inf. Theory 63 (7) (2017)
Nir Weinberger, Neri Merhav
Simplified Erasure/List Decoding. IEEE Trans. Inf. Theory 63 (7) (2017)
Ran Averbuch, Nir Weinberger, Neri Merhav
Expurgated Bounds for the Asymmetric Broadcast Channel. CoRR (2017)
Nir Weinberger, Neri Merhav
A Large Deviations Approach to Secure Lossy Compression. IEEE Trans. Inf. Theory 63 (4) (2017)
Wasim Huleihel, Nir Weinberger, Neri Merhav
Erasure/List Random Coding Error Exponents Are Not Universally Achievable. IEEE Trans. Inf. Theory 62 (10) (2016)
Nir Weinberger, Ofer Shayevitz
On the Optimal Boolean Function for Prediction under Quadratic Loss. CoRR (2016)
Nir Weinberger, Neri Merhav
Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints. CoRR (2016)
Nir Weinberger, Neri Merhav
A large deviations approach to secure lossy compression. ISIT (2016)
Nir Weinberger, Ofer Shayevitz
On the optimal boolean function for prediction under quadratic loss. ISIT (2016)
Nir Weinberger, Neri Merhav
Simplified erasure/list decoding. ISIT (2015)
Nir Weinberger, Neri Merhav
Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding. ISIT (2015)
Nir Weinberger, Neri Merhav
Channel Detection in Coded Communication. CoRR (2015)
Nir Weinberger, Neri Merhav
Optimum Tradeoffs Between the Error Exponent and the Excess-Rate Exponent of Variable-Rate Slepian-Wolf Coding. IEEE Trans. Inf. Theory 61 (4) (2015)
Nir Weinberger, Wasim Huleihel, Neri Merhav
Erasure/list random coding error exponents are not universally achievable. ITW (2015)
Nir Weinberger, Neri Merhav
A Large Deviations Approach to Secure Lossy Compression. CoRR (2015)
Wasim Huleihel, Nir Weinberger, Neri Merhav
Erasure/List Random Coding Error Exponents Are Not Universally Achievable. CoRR (2014)
Nir Weinberger, Neri Merhav
Large Deviations Analysis of Variable-Rate Slepian-Wolf Coding. CoRR (2014)
Nir Weinberger, Neri Merhav
Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding. IEEE Trans. Inf. Theory 60 (9) (2014)
Nir Weinberger, Neri Merhav
Codeword or noise? Exact random coding exponents for slotted asynchronism. ISIT (2014)
Nir Weinberger, Neri Merhav
Simplified Erasure/List Decoding. CoRR (2014)
Nir Weinberger, Neri Merhav
Large deviations analysis of variable-rate Slepian-Wolf coding. ISIT (2014)
Nir Weinberger, Meir Feder
Universal decoding over Gaussian fading channels - metric calculation and performance evaluation. ISIT (2011)
Nir Weinberger, Meir Feder
Universal decoding for linear Gaussian fading channels in the competitive minimax sense. ISIT (2008)